Senior Software Engineer (Backend) - AI/ML Environments

Job Description

Build infrastructure that lets machine learning and AI users configure reliable, reproducible training and serving environments. Collaborate with AI infrastructure teams, customers, and product managers to improve setup performance, observability, and the overall Databricks AI development experience.

Requirements: Requires at least five years of backend or infrastructure engineering experience and strong programming skills in Python, Scala, or Java. Candidates should have experience with distributed systems, scalable APIs or cloud-native infrastructure, service-oriented architecture, deployment pipelines, observability, and dependency management technologies such as virtual environments or containers.

Key Skills: Backend Engineering, Infrastructure Engineering, Python, Scala, Java, Distributed Systems, Scalable APIs, Cloud-Native Infrastructure, Service-Oriented Architecture, Deployment Pipelines, System Observability, Dependency Management, Virtual Environments, Containerization, Machine Learning Infrastructure, AI Infrastructure

Benefits: Annual Performance Bonus, Equity